Optimizing development and operations from the project success perspective using the analytic hierarchy process

By merging development and operation disciplines, the approach known as development and operations (DevOps) can significantly improve the efficiency and effectiveness of software development. Despite its potential benefits, successfully implementing DevOps within traditional project management frameworks presents significant challenges. This study explores the critical factors influencing the implementation of DevOps practices from the project management perspective, specifically focusing on software development projects in the Ministry of Finance. This study utilizes the analytic hierarchy process (AHP) to prioritize the critical elements of project success criteria and DevOps factors necessary for effective implementation. The findings indicate that stakeholder satisfaction, quality, and value creation are the primary criteria for project success. Moreover, knowledge and skills, collaboration and communication, and robust infrastructure are pivotal factors for facilitating DevOps within project management. The study provides actionable insights for organizations aiming to improve their project outcomes by incorporating DevOps and offers a systematic approach to decision-making using AHP. This study recognizes limitations due to its focus on specific contexts and emphasizes the need for future research in diverse organizational environments to validate and expand these findings.

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Publication Details

Journal
Computer Science and Information Technologies
Published
2024-10-23
DOI
https://doi.org/10.11591/csit.v5i3.p272-282
Citations
1
Primary Topic
Collaboration in agile enterprises
Type
article
Field-Weighted Citation Impact
0.73

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article

Optimizing development and operations from the project success perspective using the analytic hierarchy process

Teguh Raharjo, Ni Wayan Trisnawaty, Sani Novi Nugraheni
1 citations
Computer Science and Information Technologies
Collaboration in agile enterprises
0.73
article

Optimizing development and operations from the project success perspective using the analytic hierarchy process

Teguh Raharjo, Ni Wayan Trisnawaty, Sani Novi Nugraheni
article en
1 citations

Abstract

By merging development and operation disciplines, the approach known as development and operations (DevOps) can significantly improve the efficiency and effectiveness of software development. Despite its potential benefits, successfully implementing DevOps within traditional project management frameworks presents significant challenges. This study explores the critical factors influencing the implementation of DevOps practices from the project management perspective, specifically focusing on software development projects in the Ministry of Finance. This study utilizes the analytic hierarchy process (AHP) to prioritize the critical elements of project success criteria and DevOps factors necessary for effective implementation. The findings indicate that stakeholder satisfaction, quality, and value creation are the primary criteria for project success. Moreover, knowledge and skills, collaboration and communication, and robust infrastructure are pivotal factors for facilitating DevOps within project management. The study provides actionable insights for organizations aiming to improve their project outcomes by incorporating DevOps and offers a systematic approach to decision-making using AHP. This study recognizes limitations due to its focus on specific contexts and emphasizes the need for future research in diverse organizational environments to validate and expand these findings.

Computer Science and Information TechnologiesVol. 5(3)
University of Indonesia (ID)
Ministry of Communication and Information Technology, Universitas Indonesia
Openalex Percentile: Top 22%
Collaboration in agile enterprises
0.73
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Optimizing development and operations from the project success perspective using the analytic hierarchy process — Teguh Raharjo, Ni Wayan Trisnawaty, et al. · Computer Science and Information Technologies (2024) | TGRS Research Map | TGRS